Articles
How to Add AI to Your Rails App: FastAPI Integration with Local LLMs The tutorial I wish I’d had. It walks through wiring an LLM into a Rails 8 app the way you’d actually want to in production: the call lives in a background job, with retries, timeouts, auth, and rate limiting around it, all runnable locally via Docker Compose. Every snippet is from a working repo you can clone — and it ships in “mock mode” so you can run the whole thing without a GPU or an API key. tmux Workflow: From iTerm Chaos to Developer Productivity An honest account of dragging my Rails dev environment out of a 12-pane, three-monitor mess and into tmux — including every mistake I made along the way. The payoff that finally sold me: detach on the desktop,ssh in from a laptop, reattach, and pick up mid-task with the servers still running.
Planned
- Streaming LLM responses in Rails — getting tokens to the browser as they generate.
- RAG over pgvector — retrieval-augmented generation using Postgres as the vector store.
- Circuit breakers for AI services — what to do when your model provider has a bad day.